Descrição
Job Description
Global Manufacturing Electrical & SDV is looking for innovators who thrive in tough challenges and are passionate about tackling meaningful work that will shape the future of the automotive industry. This isn’t a role for those looking for an easy path—it’s for those who embrace change, push through obstacles, and take ownership of complex problems. While there will be long days and moments that test your resilience, you’ll find purpose in your work, flexibility to prioritize your family, and the support of a people-first culture. If you’re ready to grow, thrive, and make a real impact, we’d love to hear from you.
WHY: The purpose of this role is to enable plants to achieve world-class electrical quality, manufacturing performance, and Software Defined Vehicle readiness by leading the team responsible for transforming plant, quality, and operational data into trusted insights, scalable solutions, and practical adoption across the manufacturing network.
WHAT: As a Business Intelligence and AI supervisor you will lead a team of AI Engagement Leads and Business Intelligence Engineers, providing strategic direction, people leadership, prioritization, and governance for analytics, BI, and AI solutions across Global Manufacturing Electrical & SDV.
HOW: You will succeed in this role by building a strong team, aligning plant and central stakeholders around the highest-value opportunities, standardizing KPIs and best practices, and ensuring the team delivers scalable, secure, and actionable analytics and AI solutions that are embedded into daily manufacturing operations.
Work Arrangement - Onsite
The successful candidate is expected to report to the Warren Tech Center on a full-time basis (Monday-Friday). This role requires up to 25% domestic and international travel.
What You’ll Do (Responsibilities):
- Foster a forward-thinking work culture that embraces change and navigates future organizational and industry challenges.
- Build and nurture strategic relationships across various functions including software, manufacturing, and program management to synergize efforts towards future innovations.
- Lead and develop the AI, BI, and analytics team supporting Global Manufacturing Electrical & SDV.
- Set strategy and priorities for scalable analytics, BI, and AI solutions that improve manufacturing performance, quality, and efficiency.
- Partner across plants, engineering, quality, IT, and leadership to identify high-value problems and translate them into technical roadmaps and solutions.
- Standardize KPIs, data, reporting, governance, and best practices across regional and global manufacturing teams.
- Drive adoption, measure impact, and support both urgent operational needs and long-term capability building.
Your Skills and Abilities (Required Qualifications):
- 5+ years in experience with cloud-based data and analytics platforms such as Databricks or similar technologies.
- Experience leading teams in data analytics, business intelligence, AI, or digital transformation.
- Strong people leadership skills, including coaching, prioritization, talent development, and performance management.
- Strong collaboration and stakeholder management skills, with the ability to influence across plant operations, engineering, quality, and IT organizations.
- Strong business acumen in manufacturing, quality, and operational processes, with the ability to connect technical solutions to plant outcomes.
- Advanced knowledge of BI and data solution delivery, including SQL, Power BI, data modeling, ETL, and end-to-end deployment.
What Will Give You a Competitive Edge (Preferred Qualifications):
- Experience scaling analytics, AI, and BI capabilities across multiple plants, regions, or global organizations.
- Experience with cloud-based data and analytics platforms such as Databricks or similar technologies.
- Experience driving change management, training, and adoption for analytics and digital solutions across diverse stakeholder groups.
- Experience integrating analytics and AI solutions into MES, IT systems, and manufacturing workflows.
- Vehicle program launch and/or vehicle assembly manufacturing experience.
- Proven track record of delivering measurable business outcomes through data, analytics, and AI.
Esta função é classificada como presencial. Isso significa que o candidato selecionado deverá trabalhar presencialmente em tempo integral.
O candidato selecionado deverá viajar <25% para esta função.
Esta posição não é elegível para benefícios de relocação. Quaisquer custos de relocação serão de responsabilidade do candidato selecionado.
Informações sobre diversidade
A General Motors está comprometida em ser um local de trabalho que não só é livre de discriminação ilegal, como estimula verdadeiramente a inclusão e integração. Acreditamos enfaticamente que a diversidade na força de trabalho cria um ambiente no qual nossos colaboradores podem crescer e desenvolver melhores produtos para nossos clientes. Incentivamos os candidatos interessados a analisar as principais responsabilidades e qualificações de cada função e a se candidatar a qualquer cargo que corresponda a suas habilidades e capacidades. Os candidatos no processo de recrutamento podem, quando aplicável, ser solicitados a concluir com sucesso uma ou mais avaliações relacionadas à função e/ou uma seleção pré-emprego antes de iniciar o emprego. Para saber mais, acesse Como contratamos.
Declaração de Igualdade de Oportunidades de Emprego (EUA)
A General Motors tem orgulho de ser um empregador que oferece oportunidades iguais. Todos os candidatos qualificados serão considerados para o emprego, independentemente de raça, cor, religião, sexo, orientação sexual, identidade de gênero, origem nacional, deficiência ou status como veterano protegido.
Adaptações (EUA e Canadá)
A General Motors oferece oportunidades a todos os candidatos a emprego, incluindo pessoas com deficiências. Se você precisa de uma adaptação razoável para ajudá-lo na sua pesquisa de cargos ou solicitação de emprego, fale conosco pelo e-mail [email protected] ou pelo telefone 800-865-7580. No seu e-mail, inclua uma descrição da adaptação específica que você está solicitando assim como o nome do cargo e o número de requisição do cargo ao qual está se candidatando.